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codefuse-ai
/
CodeFuse-DevOps-Model-7B-Base

Feature Extraction
Transformers
PyTorch
Chinese
qwen
Text Generation
LLM
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use codefuse-ai/CodeFuse-DevOps-Model-7B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use codefuse-ai/CodeFuse-DevOps-Model-7B-Base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="codefuse-ai/CodeFuse-DevOps-Model-7B-Base", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("codefuse-ai/CodeFuse-DevOps-Model-7B-Base", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CodeFuse-DevOps-Model-7B-Base
15.4 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
codefuse-admin's picture
codefuse-admin
Update README.md
d84b8bd almost 3 years ago
  • .gitattributes
    1.52 kB
  • LICENSE.md
    11.9 kB
  • README.md
    4.45 kB
  • config.json
    1.22 kB
  • configuration.json
    40 Bytes
  • configuration_qwen.py
    2.42 kB
  • generation_config.json
    243 Bytes
  • modeling_qwen.py
    45.7 kB
  • pytorch_model-00001-of-00002.bin
    9.97 GB
    xet
  • pytorch_model-00002-of-00002.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.BFloat16Storage",
    • "collections.OrderedDict"

    What is a pickle import?

    5.47 GB
    xet
  • pytorch_model.bin.index.json
    19.5 kB
  • qwen.tiktoken
    2.56 MB
  • qwen_generation_utils.py
    14.6 kB
  • requirements.txt
    110 Bytes
  • tokenization_qwen.py
    7.94 kB
  • tokenizer_config.json
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